Job
Description
This role is for one of our clients Industry: Technology, Information and Media Seniority level: Mid-Senior level Min Experience: 11 years Location: Bengaluru JobType: full-time About the Role We are looking for a Principal AI Architect – Generative Systems to lead the design and delivery of next-generation AI solutions that drive innovation across our products. This is a strategic leadership role for someone who combines deep technical expertise in generative AI with the ability to shape product vision, influence cross-functional teams, and scale systems in real-world environments. You will guide a high-performing team of AI engineers and researchers to bring cutting-edge models from concept to production—impacting millions of users through intelligent automation, personalized experiences, and human-like interactions. Key Responsibilities Architect and oversee the development of generative AI systems , including LLMs, transformer-based networks, diffusion models, and custom foundation models. Translate business goals into scalable and measurable AI solutions , working closely with stakeholders from product, design, engineering, and leadership. Lead the design and implementation of high-performance ML infrastructure , enabling efficient model training, deployment, and monitoring across environments. Drive innovation by incorporating the latest research in deep learning, NLP, and computer vision into the company’s product and technology roadmap. Build reliable and ethical AI pipelines, ensuring fairness, transparency, and explainability throughout the model lifecycle. Set standards and best practices for AI/ML development workflows , including versioning, CI/CD, testing, and model retraining strategies. Mentor and grow a team of talented AI engineers and scientists, creating a culture that values experimentation, quality, and impact. Represent the AI function in strategic technical discussions and provide leadership in architectural decision-making. Required Qualifications 11+ years of experience in software engineering , with at least 5 years leading AI/ML product initiatives . Demonstrated success in building and scaling production-grade Gen AI systems across NLP, LLMs, or multimodal domains. Expertise in deep learning frameworks like PyTorch, TensorFlow, or JAX, and ecosystem tools such as Hugging Face Transformers, LangChain, or similar. Advanced proficiency in Python and familiarity with MLOps tools like MLflow, Airflow, or Kubeflow. Deep understanding of transformer models, attention mechanisms, generative architectures, and prompt-tuning methodologies. Proven experience deploying AI workloads on cloud platforms (AWS, Azure, or GCP) with emphasis on scalability and cost efficiency. Strong grounding in data architecture , including collection, preprocessing, validation, and quality assurance for large-scale model training. Excellent communication skills with the ability to bridge complex technical solutions with business impact. Bachelor’s or Master’s in Computer Science, Machine Learning, or a related field. (PhD preferred but not required.) Preferred Experience Hands-on work with RAG pipelines , vector databases (FAISS, Pinecone), or prompt engineering at scale. Contributions to open-source AI libraries or peer-reviewed publications in top AI conferences (NeurIPS, ACL, CVPR, etc.). Experience leading AI efforts in high-growth startups or innovation labs.
